Soil metagenome
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA293627 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR2180060_1.fastq.gz | Fastqsanger.gz | |||
| SRR2180060_2.fastq.gz | Fastqsanger.gz | |||
| SRR2404172_1.fastq.gz | Fastqsanger.gz | |||
| SRR2404172_2.fastq.gz | Fastqsanger.gz | |||
| SRR2405914_1.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:Leaf rate elongation is extremely sensitive to soil water status. Global gene expression of the leaf elongation zone was profiled at three different levels of soil moisture in two genotypes. Leaf elongation in IR64 is more sensitive to decreased soil moisture than in moroberekan.
2012-09-26 | GSE41159 | GEO
Project description:Leaf rate elongation is extremely sensitive to soil water status. Global gene expression of the leaf elongation zone was profiled at three different levels of soil moisture in two genotypes. Leaf elongation in IR64 is more sensitive to decreased soil moisture than in moroberekan. 2 genotypes: IR64, Moroberekan; 3 treatments: FTSW 1, FTSW 0.5, FTSW 0.2
2012-09-26 | E-GEOD-41159 | biostudies-arrayexpress
Project description:Water level experiment: soil metagenome raw sequence reads (2022)
| PRJNA930665 | ENA
Project description:A cultivation facility that can assist users in controlling the soil water condition is needed for accurately phenotyping plants under drought stress in an artificial environment. Here we report the Internet of Things (IoT)-based pot system controlling optional treatment of soil water condition (iPOTs), an automatic irrigation system that mimics the drought condition in a growth chamber. The Wi-Fi-enabled iPOTs system allows water supply from the bottom of the pot, based on the soil water level set by the user, and automatically controls the soil water level at a desired depth. The iPOTs also allows users to monitor environmental parameters, such as soil temperature, air temperature, humidity, and light intensity, in each pot. To verify whether the iPOTs mimics the drought condition, we conducted a drought stress test on rice varieties and near-isogenic lines, with diverse root system architecture, using the iPOTs system installed in a growth chamber. Similar to the results of a previous drought stress field trial, the growth of shallow-rooted rice accessions was severely affected by drought stress compared with that of deep-rooted accessions. The microclimate data obtained using the iPOTs system increased the accuracy of plant growth evaluation. Transcriptome analysis revealed that pot positions in the growth chamber had little impact on plant growth. Together, these results suggest that the iPOTs system represents a reliable platform for phenotyping plants under drought stress.
2021-08-24 | GSE171578 | GEO
Project description:The present invention relates to methods for determining soil quality, and especially soil pollution, using the invertebrate soil organism Folsomia candida also designated as springtail. Specifically, the present invention relates to a method for determining soil quality comprising: contacting Folsomia Candida with a soil sample to be analysed during a time period of 1 to 5 days; isolating said soil contacted Folsomia Candida; extracting RNA from said isolated soil contacted Folsomia Candida; determing a gene expression profile based on said extracted RNA using microarray technology; comparing said gene expression profile with a reference gene expression profile; and determing soil quality based expression level differences between said gene expression profile and said control expression profile.
2014-07-19 | GSE59588 | GEO
Project description:rs11-07_opine2 - septante soil - Transcriptomic changes induced by opine production in Arabidopsis thaliana grown in natural soil - Arabidopsis thalian Col- line was transformed in order to obtain transgenic lines that produce opine compound (octopine and mannopine). Transgenic lines producing respectively octopine and mannopine and the WT line were grown in greenhouse under long-day condition in pots containing half commercial compost and half soil of la Mérantaise and watered with water. Whole plant aged of one month were harvested and frozen in liquid nitrogen. The plants were ground with a mortar an pestls and RNA extraction was performed with the RNeasy extraction kit (QIAGEN) with cristal of PVP. The RNA concentration was measured on a NANODrop spectrophotometer.
2017-01-05 | GSE93121 | GEO
Project description:Background: The soil environment is responsible for sustaining most terrestrial plant life on earth, yet we know surprisingly little about the important functions carried out by diverse microbial communities in soil. Soil microbes that inhabit the channels of decaying root systems, the detritusphere, are likely to be essential for plant growth and health, as these channels are the preferred locations of new root growth. Understanding the microbial metagenome of the detritusphere and how it responds to agricultural management such as crop rotations and soil tillage will be vital for improving global food production. Methods: The rhizosphere soils of wheat and chickpea growing under + and - decaying root were collected for metagenomics sequencing. A gene catalogue was established by de novo assembling metagenomic sequencing. Genes abundance was compared between bulk soil and rhizosphere soils under different treatments. Conclusions: The study describes the diversity and functional capacity of a high-quality soil microbial metagenome. The results demonstrate the contribution of the microbiome from decaying root in determining the metagenome of developing root systems, which is fundamental to plant growth, since roots preferentially inhabit previous root channels. Modifications in root microbial function through soil management, can ultimately govern plant health, productivity and food security.
2020-03-06 | GSE146427 | GEO
Project description:Purpose: Deconstructing the soil microbiome into reduced-complexity functional modules represents a novel method of microbiome analysis. The goals of this study are to confirm differences in transcriptomic patterns among five functional module consortia. Methods: mRNA profiles of 3 replicates each of functional module enrichments of soil inoculum in M9 media with either 1) xylose, 2) n-acetylglucosamine, 3) glucose and gentamycin, 4) xylan, or 5) pectin were generated by sequencing using an Illumina platform (GENEWIZ performed sequencing). Sequence reads that passed quality filters were aligned to a soil metagenome using Burrows Wheeler Aligner. Resulting SAM files were converted to raw reads using HTSeq, and annotated using Uniref90 or EGGNOG databases. Results: To reduce the size of the RNA-Seq counts table and increase its computational tractability, transcripts containing a minimum of 75 total counts, but no more than 3 zero counts, across the 15 samples were removed. The subsequent dataset was normalized using DESeq2, resulting in a dataset consisting of 6947 unique transcripts across the 15 samples, and 185,920,068 reads. We identified gene categories that were enriched in a sample type relative to the overall dataset using Fisher’s exact test. Conclusions: our dataset confirms that the functional module consortia generated from targeted enrichments of a starting soil inoculum had distinct functional trends by enrichment type.
2020-01-14 | GSE143587 | GEO
Project description:In this series of experiments, we wanted to study the transcriptional responses of plants to different levels of water limitation. For mild drought stress, we controlled water potential (a scientific concept for dryness of soil) by using an automated watering system. This system adds water to soil based on the pF values reported by a pF sensor in soil. pF is a classical and widely used index of water potential that was first defined by Schofield (1935). For severe stress conditions, we withheld watering or even dried plants on a lab bench. Here, the transcriptional profiles were compared between well-watered and Sds-treated rice seedling shoots.<br>Sds (Severe dehydration stress in soil containers): We designated Sds as a term that means a severe drought stress causing dehydration of plants in our experiments (The plants were dehydrated at the sampling point). The drought stress was achieved by withholding water from plants grown in soil containers.
2016-12-26 | E-MTAB-4138 | biostudies-arrayexpress